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Found 453 Skills
Guide complet des bonnes pratiques React et Next.js couvrant l'optimisation des performances, l'architecture des composants, les patrons shadcn/ui, les animations Motion et les patrons modernes React 19+. À utiliser lors de l'écriture, la revue ou le refactoring de code React/Next.js. Se déclenche sur les tâches impliquant des composants React, des pages Next.js, du data fetching, des composants UI, des animations ou de l'amélioration de la qualité du code.
Crée, récupère, met à jour et gère les issues GitHub avec collecte complète du contexte. À utiliser quand l'utilisateur veut créer une nouvelle issue, voir les détails d'une issue, mettre à jour des issues existantes, lister les issues du projet, ajouter des commentaires ou gérer les workflows d'issues dans GitHub.
Parseur et explicateur complet du format HPK (format de message propriétaire santé). Supporte plus de 100 types de messages couvrant l'administration des patients (ID, MV, CV), la chaîne logistique (PR, FO, MA, CO, LI, RO, FA), les stocks (SO, IM), la structure organisationnelle (ST, UT) et les opérations financières (RD, DD). Utilise @erp-pas/hpk-dictionary comme source de vérité. Valide la structure, extrait les champs, explique le contexte métier, mappe vers HL7 v2.5/IHE PAM et aide au dépannage des problèmes d'intégration.
Produces a one-page lean canvas across nine interlocking blocks (problem, customer, UVP, solution, channels, revenue, cost, metrics, unfair advantage) with optional inline HTML and SVG visual rendering. Use when framing a new product thesis, stress-testing an existing strategy, comparing strategic options side-by-side, or aligning a team on business-model assumptions. Works as a strategic hub that cross-links to deeper PM skills without duplicating them.
Design and evaluate vaccine candidates using computational immunology tools. Covers epitope prediction (MHC-I/II binding via IEDB), population coverage analysis, antigen selection, adjuvant matching, and immunogenicity assessment. Integrates IEDB for epitope prediction, UniProt for antigen sequences, PDB/AlphaFold for structural epitopes, BVBRC for pathogen proteomes, and literature for clinical precedent. Use when asked about vaccine design, epitope prediction, immunogenicity, MHC binding, T-cell epitopes, B-cell epitopes, or population coverage for vaccine candidates.
Debug FastAPI applications systematically with this comprehensive troubleshooting skill. Covers async/await issues, Pydantic validation errors (422 responses), dependency injection failures, CORS configuration problems, database session management, and circular import resolution. Provides structured four-phase debugging methodology with FastAPI-specific tools including uvicorn logging, OpenAPI docs, and middleware debugging patterns.
Install, configure, and add MCP servers to the OpenAkita system. Use when the user needs to install MCP packages (npm/pip/uvx), connect remote HTTP/SSE MCP services, set up custom local MCP servers, or manage MCP server configuration and lifecycle.
Get stock prices, quotes, fundamentals, earnings, options, dividends, and analyst ratings using Yahoo Finance. Uses yfinance library - no API key required.
Generate a complete MCP server project in Python with tools, resources, and proper configuration
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
News site content extraction. Supports WeChat Official Accounts, Toutiao, NetEase News, Sohu News, and Tencent News. Activated when users need to extract news content, crawl official account articles, scrape news, or obtain news in JSON/Markdown format.
Ensures proper Python dependency management, avoiding global `pip install` and adhering to project-specific tooling. Use this skill if any of the following are true: 1. Attempting to run `pip install {package_name}`. 2. Python packages or dependencies need to be added or modified. 3. Initiating a new Python project. 4. Creating a new notebook, even if just using BigQuery cells. 5. Generating Python code that includes `import` statements for third-party libraries. 6. Before executing Python scripts via the terminal to ensure the correct virtual environment is active.